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Model: BennyDaBall/Qwen3-4b-Z-Image-Engineer-V2.5 Source: Original Platform
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---
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license: apache-2.0
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base_model: Tongyi-MAI/Z-Image-Turbo
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tags:
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- image-generation
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- prompt-engineering
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- qwen
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- photography
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new_version: BennyDaBall/Qwen3-4b-Z-Image-Engineer-V4
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---
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# 🚀 Z-Engineer V2.5 (4B)
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**Follow me on X [@BennyDaBall_OG](https://x.com/BennyDaBall_OG) !**
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**The "Z-Engineer" is back — longer, deeper, and smarter.**
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This is **Z-Engineer V2.5**, a specialized 4B parameter model fine-tuned on the **Qwen 3** architecture. It serves as a dedicated **Creative Director** for your image generation workflow, capable of extrapolating complex, cohesive visual narratives from minimal seed concepts. It doesn't just describe a scene; it engineers the light, lens, and atmosphere necessary to render it.
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## 🧠 What is this?
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Z-Engineer V2.5 is a merged LoRA fine-tuned version of high-performance text encoder from `Tongyi-MAI/Z-Image-Turbo`. It has been trained to specifically understand the nuances of **AI Image Generation** (Z-Image-Turbo, Flux2 Klein). It excels at:
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* **Expanding Concepts**: Turn "dog on a bike" into a cinematic narrative.
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* **Technical Precision**: It understands lenses (35mm vs 85mm), lighting (rembrandt, volumetric), and film stocks.
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* **Stylistic Consistency**: It avoids the robotic "AI feel" and writes with a distinct, creative voice.
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## 🔑 Key Use Cases
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* **✨ Prompt Enhancement**: A lightweight, low-VRAM solution to create, edit, and enrich simple image ideas into detailed narratives.
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* **🔌 Z-Image Turbo Encoder**: Fully backwards compatible as a drop-in CLIP text encoder for Z-Image Turbo workflows, producing varied and unique results from the same seed.
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* **🛡️ Local & Private**: Runs entirely on your machine. No API fees, no data logging, no censorship.
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* **⚡ Hybrid Power**: Use it to expand a prompt, then use the model itself as the encoder for the generation stage.
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## 📉 Key Improvements
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* **Base Model Upgrade**: Switched from standard Qwen3 Instruct to the native text encoder from **Z-Image-Turbo** for perfect alignment.
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* **All-Layer Training**: Unlike typical lightweight LoRAs, I trained adapters on **all 36 layers** of the model, ensuring deep behavioral alignment.
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* **Massive Iteration Count**: Trained for **10,000 iterations** to fully saturate the weights with the dataset concepts.
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## 📊 CLIP Model Comparison
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Z-Engineer V2.5 can be used as a **drop-in CLIP text encoder** for Z-Image-Turbo workflows. Here's how it compares to previous versions and the base model:
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| Model | Result |
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| :--- | :--- |
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| **Z-Engineer V2.5** | ✅ Clean, natural output with excellent detail and coherence. |
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| **Z-Engineer V2** | ✅ Good quality, but V2.5 shows improved texture and lighting. |
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| **Z-Engineer V1** | ❌ **Broken**: Produces severe visual artifacts and distortions. |
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| **Base Qwen3 4B** | ⚠️ Functional but generic; lacks the specialized prompt understanding. |
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### Visual Comparison
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*Note: V1 exhibits catastrophic artifacts (bottom-left in each grid) due to training instabilities. V2.5 (top-left) consistently produces the cleanest, most natural results.*
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## 🔌 ComfyUI Integration (Recommended)
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I have released a custom node for seamless integration with ComfyUI!
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* **Features**: Optimized for local OpenAI API compatible backends (LM Studio, Ollama, etc.).
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* **Get it here**: [ComfyUI-Z-Engineer](https://github.com/BennyDaBall930/ComfyUI-Z-Engineer)
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## 💻 Training Facts
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I believe in open science. Here is exactly how this was built:
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* **Hardware**: Trained locally on a Mac with **48GB Unified Memory** (Apple Silicon).
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* **Framework**: **MLX** (Apple's native machine learning framework).
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* **Dataset**: Generated locally using [Qwen3 VL 30B A3B Instruct](https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct)
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* **Size**: ~34,678 high-quality examples.
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* **Content**: A curated mix of "Prompt Enhancement" pairs, teaching the model how to take a seed idea and "engineer" it into a final prompt.
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* **Hyperparameters**:
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* **Iterations**: 10,000
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* **Batch Size**: 4
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* **LoRA Layers**: 36 (All Linear Layers)
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* **Learning Rate**: 1e-5
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## 📦 GGUF & Quantization
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I provide a full suite of GGUF quantizations for use with `llama.cpp`, Ollama, and LM Studio.
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| Quantization | Size | Use Case |
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| :--- | :--- | :--- |
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| **Q4_K_S** | **2.2 GB** | 🔻 Max Compression |
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| **Q4_K_M** | **2.3 GB** | ⚡️ Fast / Mobile / Edge |
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| **Q5_K_M** | **2.7 GB** | ⚖️ **Recommended Balance** |
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| **Q6_K** | **3.1 GB** | 💎 High Quality |
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| **Q8_0** | **4.0 GB** | 🎬 Near-Lossless |
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| **F16** | **7.5 GB** | 🧪 Reference / Conversion |
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## ⚠️ Disclaimer
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This model generates text for image prompts. While I have filtered the dataset, users should use their best judgment. I am not responsible for the content you generate.
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**Follow me on X [@BennyDaBall_OG](https://x.com/BennyDaBall_OG) !**
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Z-Image-Engineer-V2.5_ComfyUI_Workflow.json
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Z-Image-Engineer-V2.5_ComfyUI_Workflow.json
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safetensors_format/added_tokens.json
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safetensors_format/chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
|
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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safetensors_format/config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 2560,
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"initializer_range": 0.02,
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"intermediate_size": 9728,
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"max_position_embeddings": 40960,
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"max_window_layers": 36,
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"model_type": "qwen3",
|
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"num_attention_heads": 32,
|
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"num_hidden_layers": 36,
|
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"num_key_value_heads": 8,
|
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000,
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"sliding_window": null,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
|
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"transformers_version": "4.51.0",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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safetensors_format/generation_config.json
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{
|
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"bos_token_id": 151643,
|
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"do_sample": true,
|
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"eos_token_id": [
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151645,
|
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151643
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],
|
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"pad_token_id": 151643,
|
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"temperature": 0.6,
|
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"top_k": 20,
|
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"top_p": 0.95,
|
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"transformers_version": "4.51.0"
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}
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safetensors_format/merges.txt
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safetensors_format/merges.txt
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safetensors_format/model-00001-of-00002.safetensors
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
31
safetensors_format/special_tokens_map.json
Normal file
31
safetensors_format/special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
BIN
safetensors_format/tokenizer.json
(Stored with Git LFS)
Normal file
BIN
safetensors_format/tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
239
safetensors_format/tokenizer_config.json
Normal file
239
safetensors_format/tokenizer_config.json
Normal file
@@ -0,0 +1,239 @@
|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
1
safetensors_format/vocab.json
Normal file
1
safetensors_format/vocab.json
Normal file
File diff suppressed because one or more lines are too long
3
z-image-gguf-comparison_00023_.png
Normal file
3
z-image-gguf-comparison_00023_.png
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:2e1a40b0241b75d73bf8bdb6b9664ee3df1e5778edd06387b7bd5357ed88e04b
|
||||
size 5719810
|
||||
3
z-image-gguf-comparison_00026_.png
Normal file
3
z-image-gguf-comparison_00026_.png
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:7d3f6de476bd5794cfee76550d06dc67b66a1c18422a6df29a94e9abf55b8735
|
||||
size 5974621
|
||||
Reference in New Issue
Block a user